Sparse decomposition light-field microscopy for high speed imaging of neuronal activity

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One of the major challenges in large scale optical imaging of neuronal activity is to simultaneously achieve sufficient temporal and spatial resolution across a large volume. Here, we introduce sparse decomposition light-field microscopy (SDLFM), a computational imaging technique based on light-field microscopy (LFM) that takes algorithmic advantage of the high temporal resolution of LFM and the inherent temporal sparsity of spikes to improve effective spatial resolution and signal-to-noise ratios (SNRs). With increased effective spatial resolution and SNRs, neuronal activity at the single-cell level can be recovered over a large volume. We demonstrate the single-cell imaging capability of SDLFM with in vivo imaging of neuronal activity of whole brains of larval zebrafish with estimated lateral and axial resolutions of similar to 3.5 mu m and similar to 7.4 mu m, respectively, acquired at volumetric imaging rates up to 50 Hz. We also show that SDLFM increases the quality of neural imaging in adult fruit flies.
Publisher
OPTICAL SOC AMER
Issue Date
2020-10
Language
English
Article Type
Article
Citation

OPTICA, v.7, no.10, pp.1457 - 1468

ISSN
2334-2536
DOI
10.1364/optica.392805
URI
http://hdl.handle.net/10203/277723
Appears in Collection
EE-Journal Papers(저널논문)
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